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A knowledge-based fatal incident decision model

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2 Author(s)
Manivannan, S. ; Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA ; Guthrie, S.

A methodology for determining remains identification (ID) following a mass disaster is presented. The solution methodology is domain-independent and capable of addressing a wide range of assignment problems. A knowledge-based fatal incident decision model (FINDM) for providing a decision support to forensic scientists involved in the skeletal ID process is discussed. A mathematical framework for FINDM is developed that integrates a knowledge base with a network flow algorithm for resolving conflicts during the ID process. The FINDM framework has been implemented can an IBM PC and includes an observation advisor, an assignment advisor, and a conflict resolution module. Knowledge acquisition and representation issues are discussed, along with a numerical example and results. With respect to the remains ID problem, the FINDM approach shifts major efforts in resolving the problem from that of establishing a method of assignment to that of controlling the quality of data collected, improving domain knowledge, and analyzing conflicts

Published in:

Knowledge and Data Engineering, IEEE Transactions on  (Volume:6 ,  Issue: 4 )

Date of Publication:

Aug 1994

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